作者: A. Laggis , N. Doulamis , E. Protopapadakis , A. Georgopoulos
DOI: 10.5194/ISPRS-ARCHIVES-XLII-2-W3-413-2017
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摘要: Abstract. The tracking abilities of 1st generation Kinect sensors have been tested over common trajectories folk dances. Trajectories related errors, including offset, curve shape, noisy points are investigated and mitigated using well-known signal processing filters. Low cost depth trackers can contribute towards the remote tutoring dances, by providing adequate data to instructors explicit details trainees which segments their dance need more work.